Explore the challenges and arguments against the feasibility of achieving Artificial General Intelligence (AGI). This research paper examines why AGI may never surpass or replicate the complexity of human intelligence, covering topics such as the multi-dimensional nature of intelligence, the limitations of AI in problem-solving, and the difficulties of modeling the human brain.
AI Research
The U.S. AI Safety Institute, part of NIST, has partnered with Anthropic and OpenAI to enhance AI safety through collaborative research and model evaluation. These agreements aim to address safety risks and promote responsible AI development, marking a significant milestone in AI governance.
OpenAI dissolves its dedicated “superalignment” team amid high-profile departures, sparking concerns about its commitment to AI safety. Discover the implications and future of OpenAI’s approach to mitigating advanced AI risks.
Explore Northeastern University’s groundbreaking NDIF project, unlocking the mysteries of large language models in AI with a $9 million NSF grant. Gain insights into the inner workings of advanced AI systems shaping our future.
The National Endowment for the Humanities (NEH) has introduced a new program dedicated to funding research projects that delve into the complex realm of AI ethics and codes. Under the banner of “Humanities Perspectives on Artificial Intelligence,” this program aims to support initiatives that explore, understand, and address the ethical, […]